RT Journal Article
SR Electronic
T1 Coffee Consumption and CYP1A2*1F Genotype Modify Age at Breast Cancer Diagnosis and Estrogen Receptor Status
JF Cancer Epidemiology Biomarkers & Prevention
JO Cancer Epidemiol Biomarkers Prev
FD American Association for Cancer Research
SP 895
OP 901
DO 10.1158/1055-9965.EPI-07-0555
VO 17
IS 4
A1 Bågeman, Erika
A1 Ingvar, Christian
A1 Rose, Carsten
A1 Jernström, Helena
YR 2008
UL http://cebp.aacrjournals.org/content/17/4/895.abstract
AB CYP1A2 plays a key role in the metabolism of both estrogen and coffee. Women with higher coffee intake and the CYP1A2*1F A/A genotype have a ratio of high 2-hydroxyestrone (2-OHE1) to 16α-OHE1. 2-OHE1 is a weak estrogen and may even block the estrogen receptor (ER), whereas 16α-OHE1 is procarcinogenic. We hypothesized that moderate to high coffee consumption (≥2 cups per day) combined with the CYP1A2*1F A/A genotype would be associated with a later age at diagnosis and a greater proportion of ER-negative (ER−) tumors among patients with breast cancer. We genotyped 458 patients with breast cancer (age, 25-99 years) in Lund, Sweden, for CYP1A2*1F. Information on lifestyle factors and tumor characteristics were obtained from preoperative questionnaires and pathology reports. Among patients with CYP1A2*1F A/A (51.3%), moderate to high consumption was associated with a later age at diagnosis compared with low coffee consumption (59.8 versus 52.6 years, P = 0.0004). These patients were also more likely to have ER− tumors than patients with low consumption (14.7% versus 0%, P = 0.018). Coffee was not associated with ER status or age at diagnosis in patients with at least one C allele. Age at diagnosis was not associated with ER status in patients with CYP1A2*1F A/A, but younger patients (<50 years) with at least one C allele were more likely to have ER− tumors compared with older patients (odds ratio, 4.2; 95% confidence interval, 1.9-9.3; P = 0.0002). These findings raise the hypothesis that coffee slows the growth of ER-positive tumors in patients with CYP1A2*1F A/A and may have implications for breast cancer if confirmed. (Cancer Epidemiol Biomarkers Prev 2008;17(4):895–901)